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Analyzing Change in Categorical Variables by Generalized Log-Linear Models

Author

Listed:
  • MARCEL A. CROON

    (Tilburg University)

  • WICHER BERGSMA

    (Tilburg University)

  • JACQUES A. HAGENAARS

    (Tilburg University)

Abstract

This article discusses how several hypotheses about change in discrete variables can be tested on data obtained in a longitudinal study. A first class of hypotheses pertain to the invariance of certain characteristics of marginal distributions. A second class of hypotheses derive from assumptions about the causal relations between the variables. In this article, the authors show how all these hypotheses can be tested by means of a generalization of log-linear modeling developed by Lang and Agresti. By means of the same approach, it is also possible to test conjunctions of several hypotheses from both classes.

Suggested Citation

  • Marcel A. Croon & Wicher Bergsma & Jacques A. Hagenaars, 2000. "Analyzing Change in Categorical Variables by Generalized Log-Linear Models," Sociological Methods & Research, , vol. 29(2), pages 195-229, November.
    • Handle: RePEc:sae:somere:v:29:y:2000:i:2:p:195-229
    DOI: 10.1177/0049124100029002002
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    References listed on IDEAS

    as
    1. Quinn McNemar, 1947. "Note on the sampling error of the difference between correlated proportions or percentages," Psychometrika, Springer;The Psychometric Society, vol. 12(2), pages 153-157, June.
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